Implementation of the Kalman Filter for a Geostatistical Bivariate Spatiotemporal Estimation of Hydraulic Conductivity in Aquifers

Implementation of the Kalman Filter for a Geostatistical Bivariate Spatiotemporal Estimation of Hydraulic Conductivity in Aquifers

The estimation of the hydraulic parameters of an aquifer such as the hydraulic conductivity is somehow complicated due to its heterogeneity, on the other hand field and laboratory tests are both time consuming and costly. The use of geostatistical-based techniques for data assimilation could represe...

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Bibliographic Details
Main Authors: Hugo Enrique Júnez-Ferreira, Julián González-Trinidad, Carlos Alberto Júnez-Ferreira, Cruz Octavio Robles Rovelo, G.S. Herrera, Edith Olmos-Trujillo, Carlos Bautista-Capetillo, Ada Rebeca Contreras Rodríguez, Anuard Isaac Pacheco-Guerrero
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Water
Subjects:
hydraulic conductivity
groundwater numerical modelling
bivariate spatiotemporal geostatistics
Kalman filter
Online Access:https://www.mdpi.com/2073-4441/12/11/3136

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